The Analyst, Loyalty Analytics is responsible for analytics and insight that support the ongoing
enhancement and performance of a leading loyalty program for a fuels retailer. The role reports to
the Director, Analytics.
The ideal candidate has hands-on expertise in SAS (data manipulation, statistical analysis, working
with large datasets), Database data structures (SQL, Oracle), campaign analysis (campaign
effectiveness, ROI), and the ability to effectively multitask on multiple deliverables.
This role is a unique opportunity to join a dynamic team of analytical professionals that partners up
with Business and Technology to design innovative, value-adding customer engagement solutions for
our clients. The role is a great fit for motivated individuals seeking to further develop their expertise
in the area of retail, complex customer behaviour and loyalty program analytics.
Primary Responsibilities
Develop custom reports, data pulls and scalable data manipulation processes
Check data integrity and manipulate large volumes of data
Create custom analysis that add strategic value to the understanding of customer behavior or /
and campaign performance
Communicate findings to peers within Analytics team, and, on occasions, to partners from
business and technology
Comply to process standardization and creation
Contribute to the overall operations and culture of the company, fostering our values and policies
Capability Requirements – education, skills & experience
Graduate degree in Statistics, Mathematics, or other quantitative fields; supplementary education
in Computer Science or Business is a bonus
Attention to detail, high aptitude for problem solving and a natural interest in understanding and
explaining consumer behavior / business
Expert knowledge of SAS
3+ years of analytical and data mining experience, preferably with some exposure to campaign
analytics
Solid understanding of the structure of relational databases and ability to create custom queries
using data mining tools (e.g. SQL)
Ability to develop analytical frameworks and generate / communicate business insight
Experience in developing business intelligence tools (e.g. Tableau, Pentaho) is a bonus
Excellent communication skills
